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- Tasks: Create groundbreaking ML products for image, video, and AR experiences.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, diverse workplace, and opportunities for growth.
- Why this job: Join a team pushing the boundaries of technology and creativity.
- Qualifications: Bachelor's in a technical field and experience with PyTorch or TensorFlow.
- Other info: Collaborative environment that values diversity and equality.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the United Kingdom is looking for a Machine Learning Engineer to join their team. You will develop innovative ML products, focusing on image and video generation, and augment reality experiences.
Ideal candidates should have:
- A Bachelor's degree in a technical field
- Experience with major deep learning frameworks like PyTorch or TensorFlow
- A passion for machine learning
The role emphasizes collaboration within teams and working on cutting-edge technology. Snap is committed to diversity and equality in the workplace.
Gen AI ML Engineer: Real-time Image/Video & AR in London employer: Snap Inc.
Contact Detail:
Snap Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI ML Engineer: Real-time Image/Video & AR in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving image/video generation or AR. This will give you an edge and demonstrate your passion for machine learning.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning frameworks like PyTorch and TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Gen AI ML Engineer: Real-time Image/Video & AR in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning frameworks like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our innovative ML products. We love seeing enthusiasm and creativity in applications.
Showcase Team Collaboration: Since this role emphasises teamwork, mention any collaborative projects you've worked on. We value candidates who can work well within teams and contribute to a positive work environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Snap Inc.
✨Know Your Tech
Make sure you brush up on your knowledge of deep learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Passion
This role is all about innovation in machine learning, so let your enthusiasm shine through! Share your personal projects or research related to image/video generation and augmented reality. This will demonstrate your genuine interest in the field.
✨Collaboration is Key
Since the job emphasises teamwork, be prepared to talk about your experience working in collaborative environments. Think of examples where you contributed to a team project, highlighting your communication skills and ability to work with others.
✨Diversity Matters
Snap values diversity and equality, so it’s a good idea to reflect on how you can contribute to an inclusive workplace. Consider discussing any experiences you have that relate to promoting diversity in tech or how you’ve worked with diverse teams in the past.
